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Most participants preferred the manual mode, which requires them to think several steps ahead and either physically type in instructions or verbally direct the arm with a series of precise commands. They favored the manual mode even though they did not perform tasks as well with it.

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John Bricout, Behal 麻豆精品 S檚 collaborator and the associate dean for Research and Community Outreach at the University of Texas at Arlington School of Social Work, said the study demonstrates how people want to be engaged — but not overwhelmed — by technology. The psychology theory of Flow describes this need to have a balance between challenge and capacity in life.

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The computer program is based on how the human eye sees. A touch screen, computer mouse, joystick or voice command sends the arm into action. Then sensors mounted on the arm see an object, gather information and relay it to the computer, which completes the calculations necessary to move the arm and retrieve the object.

Behal is seeking grants to translate the study 麻豆精品 S檚 findings into a smoother 麻豆精品 S渉ybrid 麻豆精品 S mode that is more interactive and challenging for users and features a more accurate robotic arm. Laser, ultrasound and infrared technology coupled with an adaptive interface will help him achieve his goals.

The key is to design technology that can be individualized with ease, Behal said. Some patients will have more mobility than others, and they may prefer a design closer to the manual mode. Though the automatic mode wasn 麻豆精品 S檛 popular in the pilot study, it may be the best option for patients with more advanced disease and less mobility.

Bob Melia, a quadriplegic who advised the UCF team, says the new technology will make life easier for thousands of people who are so dependent on others because of physical limitations.

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Behal 麻豆精品 S檚 initial research was funded with a grant from the National Science Foundation and through a pilot grant from the National Multiple Sclerosis Society. Behal presented his findings at the 2010 International Conference on Robotics and Automation in Anchorage, Alaska.

Behal is collaborating with Bricout, who previously worked in the College of Health and Public Affairs at UCF, to apply for another grant in the area of assistive technology.

The research team includes Dae-Jin Kim, Zhao Wang, and Rebekah Hazlett from UCF,聽聽 John Bricout from UT Arlington, and Heather Godfrey, Greta Rucks, David Portee and Tara Cunningham from Orlando Health Rehabilitation Institute. The institute helped recruit patients for the study.

A UCF faculty member since 2006, Behal has a joint appointment in the College of Engineering and Computer Science and the NanoScience Technology Center. He received his master 麻豆精品 S檚 degree from the Indian Institute of Technology in Mumbai, India, and a Ph.D. from Clemson University in South Carolina.